International Journal of Mechanical Sciences最新文献_第10页

Vibration suppression of footbridges using nonlinear vertical absorbers 非线性竖向吸振器对人行桥梁的抑制作用

IF 9.4 1区工程技术 Q1 ENGINEERING, MECHANICAL

International Journal of Mechanical Sciences

Pub Date : 2026-01-24 DOI: 10.1016/j.ijmecsci.2026.111309

Xiaoxin Dai , Xiaojun Wei , Lihua Tang , Zhiwen Xue , Yi Wu

Contemporary footbridges, due to their slender and lightweight structural characteristics, are prone to human-induced vibrations. This paper proposes a vibration mitigation strategy for lively footbridges under walking-induced excitations, which are modeled as moving harmonic loads, by employing nonlinear vibration absorbers. Firstly, a novel vertical polynomial stiffness nonlinear vibration absorber (VPNVA) incorporating a gravity compensation mechanism is proposed. Experiments on the stand-alone VPNVA indicate that the implementation scheme enables the effective realization of polynomial stiffness, with frequency responses of the VPNVA showing good agreement with theoretical predictions. Secondly, the response regimes of the system, consisting of two VPNVA devices installed on both sides at the midspan of a lively footbridge, are analyzed with consideration of multi-modal vibrations. The results show that the vibrations on both sides of the footbridge may evolve along the lower branch of the slow invariant manifold (SIM), both may jump from the lower branch to the upper branch, or, one side may remain along the lower branch while the other jumps to the upper branch when both bending and torsional mode vibrations are included. Finally, the VPNVA with optimal stiffness coefficients and a low damping coefficient demonstrates effective vibration suppression, and the performance is further improved with additional optimal damping. Under detuning conditions where both bending and torsional modes fall within the walking excitation frequency range, the optimally designed VPNVA still maintains satisfactory vibration suppression performance, indicating its effectiveness in controlling multi-modal vibrations, even with frequency detuning. Compared with the conventional TMD, the VPNVA exhibits lower sensitivity to stiffness variations under low damping conditions. The proposed VPNVA provides an effective approach to vibration control of large-scale structures under moving loads.

现代人行桥由于其细长和轻便的结构特点，容易受到人为振动。本文提出了一种基于非线性吸振器的人行桥在移动谐波荷载作用下的减振策略。首先，提出了一种包含重力补偿机制的垂直多项式刚度非线性吸振器（VPNVA）。在单机VPNVA上的实验表明，该实现方案能够有效实现多项式刚度，VPNVA的频率响应与理论预测吻合较好。其次，在考虑多模态振动的情况下，分析了由安装在人行桥跨中两侧的两个VPNVA装置组成的系统的响应形式。结果表明：考虑弯扭模态振动时，人行桥两侧的振动可能沿慢不变流形（SIM）的下支演化，也可能从下支跳到上支，或者一侧沿下支保持不变而另一侧跳到上支。最后，刚度系数最优且阻尼系数较低的VPNVA能够有效抑制振动，并且在附加最优阻尼的情况下，性能得到进一步改善。在弯曲模态和扭转模态均在行走激励频率范围内的失谐条件下，优化设计的VPNVA仍然保持了令人满意的抑振性能，说明即使在频率失谐的情况下，其对多模态振动的控制是有效的。与传统的TMD相比，VPNVA在低阻尼条件下对刚度变化的敏感性较低。该方法为大型结构在移动荷载作用下的振动控制提供了有效的方法。

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引用次数: 0

Contact-based high-throughput material characterization via Kolmogorov-Arnold Transformer neural operator 基于Kolmogorov-Arnold变压器神经算子的接触高通量材料表征

IF 9.4 1区工程技术 Q1 ENGINEERING, MECHANICAL

International Journal of Mechanical Sciences

Pub Date : 2026-01-24 DOI: 10.1016/j.ijmecsci.2026.111308

Lizichen Chen , Gengxuan Zhu , Yuanhao Chen , Ronghao Bao , C.W. Lim , Weiqiu Chen

High-throughput characterization (HTC) techniques grounded in contact mechanics have significantly propelled advancements in materials science by enabling quantitative assessments of material properties efficiently and precisely. Tailored for HTC of whole-field material properties, an effective Kolmogorov-Arnold Transformer neural operator (KATNO) architecture is established to conduct the inverse contact analysis, where the datasets are prepared through finite element analysis of isotropic inhomogeneous cubes as well as symplectic analysis of layered cylinders. The normalized cross-attention and self-attention modules are designed to evaluate queries, keys, and values within the Transformer framework. Additionally, a gating network is employed to average the weights of multiple expert group-rational Kolmogorov-Arnold networks (GR-KANs). In representative numerical examples, predicted results and ground truth exhibit high consistency. Various KATNO architectures are explored to identify essential design criteria according to the mean L2 relative error. The limitations of neural operators based on contact analysis are highlighted, offering insights for future advancements in HTC techniques.

基于接触力学的高通量表征（HTC）技术通过有效和精确地对材料性能进行定量评估，极大地推动了材料科学的进步。针对材料全场特性的HTC，建立了有效的Kolmogorov-Arnold变压器神经算子（KATNO）架构进行反接触分析，其中通过各向异性非均匀立方体的有限元分析和层状圆柱体的辛分析制备数据集。规范化的交叉关注和自关注模块被设计用来评估Transformer框架中的查询、键和值。此外，采用门控网络对多个专家组理性Kolmogorov-Arnold网络（GR-KANs）的权重进行平均。在有代表性的数值算例中，预测结果与真值具有较高的一致性。探索了各种KATNO架构，以根据平均L2相对误差确定基本设计标准。强调了基于接触分析的神经算子的局限性，为HTC技术的未来发展提供了见解。

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引用次数: 0

A genus-tuning design on minimal surfaces for open-cell mechanical metamaterials 开孔机械超材料最小表面的属型调谐设计

IF 9.4 1区工程技术 Q1 ENGINEERING, MECHANICAL

International Journal of Mechanical Sciences

Pub Date : 2026-01-23 DOI: 10.1016/j.ijmecsci.2026.111304

Yan Wang , Yu Lei , Ruizhi Cui , Yuan Jin , Dunant Halim , Gary J. Cheng , Biwei Deng

Mechanical metamaterials based on triply periodic minimal surfaces (TPMS) offer unprecedented opportunities for tailoring mechanical properties through their mathematically defined open-cell architecture. Although existing studies have examined the intrinsic properties, multi-physical applications, and geometric designs of TPMS metamaterials, a systematic approach for broad mechanical tunability remains underdeveloped. Here, we introduce a genus-tuning strategy as a novel geometric degree of freedom for systematically designing TPMS-based mechanical metamaterials. Through integrated numerical and theoretical analyses, we demonstrate that increasing genus induces a structural evolution that changes the Gaussian curvature distribution while preserving zero mean curvature. The Gaussian curvature distribution on newly generated TPMS metamaterials plays a pivotal role in modulating the stress distribution, thereby enabling flexible tuning of stiffness and energy absorption across a wide range. Notably, the specific Young's moduli increased by up to 47% on average within a relative density range of 0.04–0.12, and reached 177% of the Hashin-Shtrikman upper bound for maximum values, while specific shear moduli improved by up to 84.0%. Directional genus-tuning enabled TPMS metamaterials to attain nearly 94% of the stiffness of honeycombs under uniaxial load. A pronounced increase in specific energy absorption is demonstrated by 3D printed TPMS metamaterials, rising from 1.77 J·g⁻¹ to 6.93 J·g⁻¹, as the genus level is increased. Overall, this work establishes genus as a fundamental topological descriptor for mechanical performance and provides a powerful design paradigm for developing lightweight, highly customizable metamaterials.

基于三周期最小表面（TPMS）的机械超材料通过其数学定义的开孔结构为定制机械性能提供了前所未有的机会。虽然现有的研究已经研究了TPMS超材料的内在性质、多物理应用和几何设计，但广泛的机械可调性的系统方法仍然不发达。在这里，我们引入了一种新的几何自由度策略，用于系统地设计基于tpms的机械超材料。通过综合的数值和理论分析，我们证明了增加格会引起结构演化，在保持平均曲率为零的情况下改变高斯曲率分布。新生成的TPMS超材料上的高斯曲率分布在调节应力分布方面起着关键作用，从而能够在大范围内灵活调节刚度和能量吸收。值得注意的是，在相对密度为0.04-0.12的范围内，比杨氏模量平均增加了47%，达到了Hashin-Shtrikman上限的177%，而比剪切模量提高了84.0%。定向属调谐使TPMS超材料在单轴载荷下获得近94%的蜂窝刚度。3D打印TPMS超材料的比能吸收随着属水平的增加，从1.77 J·g−1增加到6.93 J·g−1。总的来说，这项工作建立了属作为机械性能的基本拓扑描述符，并为开发轻量级，高度可定制的超材料提供了强大的设计范例。

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引用次数: 0

Material heterogeneity-driven fracture propagation in concrete 混凝土中材料非均质驱动的断裂扩展

IF 9.4 1区工程技术 Q1 ENGINEERING, MECHANICAL

International Journal of Mechanical Sciences

Pub Date : 2026-01-23 DOI: 10.1016/j.ijmecsci.2026.111300

Mohmad M. Thakur , Butchi S. Pattisapu , Wenfeng Li , Meng Meng , Ryan C. Hurley

Improving the fracture toughness of concrete is key to improving the resilience and longevity of structures throughout our built environment. Microstructural heterogeneity and resulting crack propagation and arrest mechanisms are central to concrete’s fracture toughness. While nanoindentation has shed light on the heterogeneity of moduli and hardness in concrete, more research is needed to understand how individual microstructural phases contribute independently and collectively to macroscopic fracture properties. Here, we combine three-point bend experiments on microbeams of concrete with pre- and post-test X-ray imaging and finite element modeling to investigate the influence of individual phases of concrete on crack propagation mechanisms. We pay careful attention to incorporating realistic fracture properties of the individual phases in modeling based on recent experiments using nanoindentation, microscratch testing, and acoustic emission. Our combined experimental and modeling study reveals that the contrast in the elastic and fracture properties of phases, and microstructural features such as the size and shape of inclusion phases, largely influence the crack propagation mechanisms and effective toughness of the concrete composite. The results provide useful insights into engineering the next generation of tough cementitious materials.

提高混凝土的断裂韧性是提高整个建筑环境中结构的弹性和寿命的关键。微观结构的非均质性和由此产生的裂纹扩展和止裂机制是混凝土断裂韧性的核心。虽然纳米压痕已经揭示了混凝土中模量和硬度的异质性，但需要更多的研究来了解单个微观结构相如何独立和共同地影响宏观断裂特性。在这里，我们将混凝土微梁的三点弯曲实验与测试前后的x射线成像和有限元建模相结合，研究混凝土各个阶段对裂缝扩展机制的影响。基于最近使用纳米压痕、微划痕测试和声发射进行的实验，我们非常注意将各个相的真实断裂特性纳入建模中。实验与模型相结合的研究表明，相的弹性和断裂性能的差异以及夹杂相的尺寸和形状等微观组织特征在很大程度上影响了混凝土复合材料的裂纹扩展机制和有效韧性。该结果为工程下一代坚韧胶凝材料提供了有用的见解。

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引用次数: 0

Intrinsic integrated actuation and self-sensing soft robots via MME coupling 基于MME耦合的内禀集成驱动与自传感软机器人

IF 9.4 1区工程技术 Q1 ENGINEERING, MECHANICAL

International Journal of Mechanical Sciences

Pub Date : 2026-01-23 DOI: 10.1016/j.ijmecsci.2026.111306

Chunrui Peng , Yan Li , Haoran Niu , Xiaoming Cai , Yangna Yin , Qiuquan Guo , Dongxing Zhang , Jun Yang

Soft robots generally require compliant structures that support efficient actuation and reliable self-sensing. However, integrating these two functions within a single material system remains challenging. In this work, a compact magnetoelastic composite (MEC)-polyvinylidene fluoride (PVDF)-MEC sandwich structure is developed to realize intrinsic magneto-mechano-electric (MME) coupling, thereby enabling magnetic actuation together with deformation-induced electrical sensing in one integrated system. Systematic optimization of Neodymium-Iron-Born (NdFeB) filler content, MEC layer configuration, and PVDF thickness reveals a balanced magnetic torque-compliance condition, with the 50% filler, double-layer MEC, and 28 μm PVDF combination providing the highest coupling efficiency. Furthermore, the analytical model based on first-order Euler–Bernoulli beam theory and piezoelectric constitutive equation establishes a quantitative relationship between magnetic torque, structural compliance, and piezoelectric output. This theoretical framework elucidates the underlying mechanisms driving the optimization of material-structure parameters. Based on the optimized parameters, the mold-assisted magnetization-programmed MEC–PVDF–MEC sandwich structure was fabricated into butterfly-inspired, cross-shaped, and scorpion-inspired soft robots. These prototypes demonstrate capabilities in magnetic-field sensing, multimodal locomotion, and object manipulation. These results establish an integrated material–structure strategy for soft robots that enables remote actuation and self-sensing while maintaining adaptability in complex environments.

软机器人通常需要柔性结构，以支持高效的驱动和可靠的自传感。然而，将这两种功能集成到单一材料系统中仍然具有挑战性。在这项工作中，开发了一种紧凑的磁弹性复合材料(MEC)-聚偏氟乙烯(PVDF)-MEC夹层结构，以实现本构磁-机电（MME）耦合，从而在一个集成系统中实现磁驱动和变形感应电传感。通过对钕铁硼（NdFeB）填料含量、MEC层构型和PVDF厚度的系统优化，发现50%填料、双层MEC和28 μm PVDF组合具有最高的耦合效率。基于一阶欧拉-伯努利梁理论和压电本构方程的解析模型建立了磁转矩、结构柔度和压电输出之间的定量关系。这一理论框架阐明了驱动材料结构参数优化的潜在机制。基于优化后的参数，将模具辅助磁化编程的MEC-PVDF-MEC夹层结构制作成蝴蝶形、十字形和蝎子形三种形状的软体机器人。这些原型展示了磁场传感、多模式运动和物体操纵的能力。这些结果为软机器人建立了一种集成的材料-结构策略，使其能够远程驱动和自我感知，同时保持在复杂环境中的适应性。

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引用次数: 0

Force model of ultrasonic electrochemical composite grinding of GCr15 steel 超声电化学复合磨削GCr15钢的受力模型

IF 9.4 1区工程技术 Q1 ENGINEERING, MECHANICAL

International Journal of Mechanical Sciences

Pub Date : 2026-01-23 DOI: 10.1016/j.ijmecsci.2026.111303

Chenglong Li, Feng Jiao, Hongyin Zhang, Fukai Cui, Ying Niu

Precise grinding force prediction is crucial to mitigate thermal damage and enhance surface integrity. In ultrasonic electrochemical composite grinding (UECG), multi-field coupling complicates this prediction. A mechanical model of UECG was established to clarify the material removal mechanism under multi-field synergy. The study focuses on the quantitative characterization of the interaction between electrochemical dissolution thickness, the thickness of the resulting passive film, and the mechanical grinding depth. First, a single-grain model was developed and calibrated. The kinematic trajectory of a single grain during longitudinal-torsional ultrasonic internal plunge grinding was then analytically determined. Based on the synergistic removal mechanisms of ultrasonic vibration, electrochemical dissolution, and mechanical grinding, the grinding zone is partitioned into three distinct stages: sliding, plowing, and cutting, considering the grain-workpiece contact states. By incorporating the vibration-induced changes in the friction coefficient, individual force components were determined and summed across all active grains to predict the total grinding force. Validation results show that the predicted values agree well with the experimental measurements. The error ranges for normal and tangential forces are 5.47%–17.77% and 6.09%–16.16%, respectively. Increasing the ultrasonic amplitude from 0 to 3.6 μm led to a 51.35% reduction in normal force (from 310.39 N to 151.01 N) and a 51.46% reduction in tangential force (from 153.8 N to 74.65 N). Within the 7–15 V range, each 2 V voltage increment results in a maximum decrease of 23.02% for normal force and 23.53% for tangential force.

精确的磨削力预测是减轻热损伤和提高表面完整性的关键。在超声电化学复合磨削（UECG）中，多场耦合使预测复杂化。建立了UECG的力学模型，阐明了多场协同作用下材料的去除机理。研究重点是电化学溶解厚度、钝化膜厚度和机械磨削深度之间相互作用的定量表征。首先，建立并校准了单粒模型。分析确定了超声纵扭内插磨削过程中单个晶粒的运动轨迹。基于超声振动、电化学溶解和机械磨削的协同去除机制，考虑颗粒与工件的接触状态，将磨削区划分为滑动、犁耕和切削三个不同的阶段。通过结合振动引起的摩擦系数变化，确定了各个力分量，并对所有活性颗粒求和，以预测总磨削力。验证结果表明，预测值与实验值吻合较好。法向力和切向力的误差范围分别为5.47% ~ 17.77%和6.09% ~ 16.16%。当超声振幅从0增大到3.6 μm时，法向力从310.39 N减小到151.01 N，减小51.35%；切向力从153.8 N减小到74.65 N，减小51.46%；在7-15 V范围内，电压每增加2 V，法向力和切向力的最大降幅分别为23.02%和23.53%。

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引用次数: 0

Programming zero-energy mode in curved one dimensional metamaterial 弯曲一维超材料零能量模式的编程

IF 9.4 1区工程技术 Q1 ENGINEERING, MECHANICAL

International Journal of Mechanical Sciences

Pub Date : 2026-01-22 DOI: 10.1016/j.ijmecsci.2026.111299

Ying Yu , Jiayao Feng , Xiaolin Duan , Ke Liu , Yuxiang Cai

This paper presents a novel approach for programming motion paths of zero-energy modes along arbitrary trajectories in mechanical metamaterials. Moving beyond previous studies confined to linear propagation paths, we engineer chain-like linkages with independently tunable horizontal and vertical spacing parameters to actively encode and control soliton propagation along user-defined 2D paths. Our findings reveal that geometric adjustments not only enable new motion modes but also control over energy transmission efficiency. The soliton dynamics, simulated using the Finite Particle Method, validate robust motion and energy transfer processes within the structure, demonstrating successful propagation along programmed spiral and sinusoidal paths. The flipper phase achieving optimal efficiency while paths like spirals incur significant energy trade-offs. Our work provides advancements in designing topologically protected, reconfigurable mechanical systems, offering new methods for efficient energy and motion transfer in applications ranging from soft robotics to adaptive structural systems.

本文提出了一种新的方法来规划机械超材料中沿任意轨迹的零能模式运动路径。超越以往局限于线性传播路径的研究，我们设计了具有独立可调的水平和垂直间距参数的链状连杆，以主动编码和控制沿用户定义的二维路径的孤子传播。我们的研究结果表明，几何调整不仅可以实现新的运动模式，还可以控制能量传输效率。使用有限粒子法模拟的孤子动力学验证了结构内的鲁棒运动和能量传递过程，并展示了沿着编程的螺旋和正弦路径成功传播。鳍状相位实现最佳效率，而路径像螺旋产生显著的能量权衡。我们的工作在设计拓扑保护，可重构机械系统方面取得了进展，为从软机器人到自适应结构系统的应用提供了有效的能量和运动传递的新方法。

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引用次数: 0

Anisotropic butterfly-inspired lattice structures for enhanced impact resistance 增强抗冲击性的各向异性蝴蝶启发晶格结构

IF 9.4 1区工程技术 Q1 ENGINEERING, MECHANICAL

International Journal of Mechanical Sciences

Pub Date : 2026-01-22 DOI: 10.1016/j.ijmecsci.2026.111298

Jing Wei , Xiao Wang , Qinqin Wei , Guoqiang Luo , Eric Jianfeng Cheng , Qiang Shen

Lattice structures have attracted wide attention due to their lightweight and energy-absorbing characteristics, yet their practical application remains constrained by localized failure induced by stress concentration, leading to a drastic decline in impact resistance. Inspired by the uniform stress distribution in butterfly wings, we introduce a novel anisotropic lattice design based on a butterfly-inspired body-centered cubic (BCCB) topology. By incorporating a critical transition from catastrophic I-shaped single shear in BCC to stable X-shaped conjugate shear bands in BCCB, this structure effectively mitigates stress concentration and enhances both strength and impact tolerance, while the BCCB structure (0.62 relative density) offers a lightweight advantage. The experimental and numerical simulations were employed to investigate the static and dynamic mechanical behavior of the lattice structures. and Digital Image Correlation (DIC) was used to analyze the stress distribution in lattice structures. The results in this work exhibits a specific energy absorption of 7.2 J/g (6 times that of the traditional BCC) and an elastic modulus of 31.33 MPa (2.5 times higher). Theoretical and numerical analyses elucidate the anisotropic mechanical behavior and yield behavior, offering fundamental insights into the structure–function relationship. This design holds promise for advanced deployment in aerospace, automotive, and protective systems where lightweight impact-resilient materials are critical.

晶格结构由于其轻量化和吸能的特点而受到广泛关注，但其实际应用仍然受到应力集中引起的局部破坏的限制，导致其抗冲击性急剧下降。受蝴蝶翅膀均匀应力分布的启发，提出了一种基于蝴蝶体心立方（BCCB）拓扑结构的各向异性网格设计方法。通过将BCCB中从灾难性的i形单剪切转变为稳定的x形共轭剪切带，该结构有效地减轻了应力集中，提高了强度和抗冲击能力，同时BCCB结构（0.62相对密度）具有轻质优势。采用实验和数值模拟的方法研究了晶格结构的静态和动态力学行为。采用数字图像相关（DIC）分析了点阵结构的应力分布。研究结果表明，该材料的比能吸收为7.2 J/g（是传统BCC的6倍），弹性模量为31.33 MPa（高2.5倍）。理论和数值分析阐明了各向异性力学行为和屈服行为，为结构-功能关系提供了基本见解。这种设计有望在航空航天、汽车和保护系统中进行先进部署，在这些领域，轻质冲击弹性材料至关重要。

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引用次数: 0

A novel constitutive model for Al/Mg mixtures in dissimilar friction stir welding 不同搅拌摩擦焊中Al/Mg混合料的本构模型

IF 9.4 1区工程技术 Q1 ENGINEERING, MECHANICAL

International Journal of Mechanical Sciences

Pub Date : 2026-01-22 DOI: 10.1016/j.ijmecsci.2026.111301

Chengle Yang , Qingyu Shi , Chuansong Wu , Mengran Zhou , Gong Zhang , Gaoqiang Chen

Al and Mg alloys are widely used lightweight structural materials, and dissimilar friction stir welding (DFSW) facilitates the fabrication of high-performance joints between them. However, the high-temperature deformation behavior of the Al/Mg mixture containing interfacial layer (IL) remains unclear, obscuring the distinctive thermo-mechanical coupling mechanism in the Al/Mg DFSW process and hampering welding optimization. This study proposes a novel constitutive model for Al/Mg mixtures, which, for the first time, explicitly incorporates the unique high-temperature softening of IL based on the Reuss assumption. The model is integrated into a computational fluid dynamics (CFD) framework to simulate the DFSW of 3 mm thick AA6061 and AZ31B plates. Experimental validations show that the proposed model exhibits substantially higher predictive accuracies, compared to that of conventional models: it predicts temperature histories that closely match thermocouple measurement results, reduces the peak-temperature errors from >50 °C to < 8 °C, more accurately reproduces the stir zone (SZ) morphology, and successfully identifies the Al/Mg mixing region within the SZ. Importantly, the proposed model captures the low welding temperatures observed in Al/Mg DFSW compared to that in single-alloy welding, which the conventional model fails to reproduce. This temperature reduction is attributed to a 17.1% decrease in the total heat generation. Specifically, the incorporation of the IL decreases the frictional heat by 117.7 W, owing to enhanced tool-workpiece sticking, while the deformational heat increases by only 29.5 W. In addition, the proposed model predicts more intense material flow and deformation within a narrower region. Overall, the new model offers a more physically authentic description of the high-temperature deformation behavior of Al/Mg mixtures, significantly enhancing prediction accuracy and revealing the underlying low-temperature mechanisms of Al/Mg DFSW.

铝、镁合金是广泛应用的轻质结构材料，采用异种搅拌摩擦焊接技术可以制备高性能的铝、镁合金连接。然而，含有界面层（IL）的Al/Mg混合物的高温变形行为尚不清楚，这模糊了Al/Mg DFSW过程中独特的热-力耦合机制，阻碍了焊接优化。本研究提出了一种新的Al/Mg混合物的本构模型，该模型首次明确地考虑了基于Reuss假设的IL的独特高温软化。将该模型集成到计算流体动力学（CFD）框架中，模拟了3mm厚AA6061和AZ31B板的DFSW。实验验证表明，与传统模型相比，该模型具有更高的预测精度：它预测的温度历史与热电偶测量结果非常接近，将峰值温度误差从50°C降低到8°C，更准确地再现了搅拌区（SZ）的形貌，并成功地识别了SZ内的Al/Mg混合区域。重要的是，与单合金焊接相比，该模型捕获了Al/Mg DFSW中观察到的较低焊接温度，而传统模型无法再现这一点。温度的降低是由于总发热量减少了17.1%。具体来说，由于强化了工具与工件的粘着，IL的加入使摩擦热减少了117.7 W，而变形热仅增加了29.5 W。此外，提出的模型预测更强的物质流动和变形在更窄的区域。总体而言，新模型更真实地描述了Al/Mg混合物的高温变形行为，显著提高了预测精度，揭示了Al/Mg DFSW的低温机制。

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引用次数: 0

Ellipse–arc hybrid re-entrant honeycombs for dual-plateau energy absorption 椭圆-圆弧混合重入式双平台吸能蜂窝

IF 9.4 1区工程技术 Q1 ENGINEERING, MECHANICAL

International Journal of Mechanical Sciences

Pub Date : 2026-01-22 DOI: 10.1016/j.ijmecsci.2026.111302

Tang Yuxin , Zhong Yifeng , Liu Rong , Poh Leong Hien

This study proposes a novel ellipse–arc hybrid re-entrant honeycomb (EAH) structure derived from the traditional re-entrant design. Comprehensive finite element simulations and quasi-static compression tests reveal that the EAH activates a progressive double-bending mechanism, significantly improving energy absorption efficiency. The first plateau stress slightly exceeds the second due to sequential collapse of the elliptical and arc struts, producing smoother energy absorption and suppressing late-stage impact peaks. The EAH achieves a peak stress of 3.5 MPa, plateau stress of 0.9 MPa, and specific energy absorption of 0.69 J/g, outperforming conventional elliptical and arc designs by 71% and 65%, respectively. A theoretical model based on the unit-cell collapse mechanism predicts the first, second, and average plateau stresses with deviations of only 8.7%, 2.3%, and 2.17% from experiments, confirming its high accuracy. Furthermore, a variational asymptotic method (VAM)-based model efficiently predicts elastic behavior with over 94% reduction in computational cost compared with 3D finite element analysis. Systematic parametric studies reveal that the major-to-minor axis ratio of elliptical struts affects the structure’s transverse contraction, arc curvature influences the load-bearing and second-plateau energy absorption efficiency, aspect ratio determines axial stiffness, and slenderness ratio governs the structure’s stability and compressive performance. These findings provide valuable guidance for the performance optimization of EAH structures.

在传统重入式设计的基础上，提出了一种新型椭圆-圆弧混合蜂窝重入式结构。综合有限元模拟和准静态压缩试验表明，EAH激活了渐进式双弯曲机制，显著提高了能量吸收效率。由于椭圆支撑和圆弧支撑的顺序坍塌，第一个平台应力略高于第二个平台应力，产生更平滑的能量吸收并抑制后期冲击峰值。EAH的峰值应力为3.5 MPa，平台应力为0.9 MPa，比能量吸收为0.69 J/g，分别比传统的椭圆和弧形设计高71%和65%。基于单胞崩溃机制的理论模型预测第一、第二和平均平台应力，与实验偏差仅为8.7%、2.3%和2.17%，证实了其较高的准确性。此外，与三维有限元分析相比，基于变分渐近方法（VAM）的模型有效地预测了弹性行为，计算成本降低了94%以上。系统参数化研究表明，椭圆支板的长短轴比影响结构的横向收缩，弧曲率影响结构的承载效率和二次平台吸能效率，长径比决定结构的轴向刚度，长细比决定结构的稳定性和抗压性能。这些发现为EAH结构的性能优化提供了有价值的指导。

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引用次数: 0